An Overview Methodology for Writing Suitable Boolean Rules for Protein Signaling Pathways (original) (raw)

Boolean model elaborates discrete modelling of any biological system with the purpose to study its dynamical evolution. The representative network has been composed of nodes and edges that show the way of interactions between these nodes. The modelling consists of a set of logical functions, known as Boolean functions that represent the interactions between nodes, and are simulated to determine all attractors of the system, and consequently, its stable states are stated as fixed points. In this paper, we give a description of the methodology followed to write Boolean functions. We present two different Boolean models constructed by these two methods and the differences shown in the results they simulate. In a situation where experimental data are missing, the functions have been usually written under prediction and assumptions made for this occasion, because the path followed by the information to jump from one node to another was considered mandatory for the first Boolean model. Di...

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